~/dayamoymaji14
dayamoymaji14@portfolio: ~
$ whoami

Dayamoy Maji

Engineering Manager

Bengaluru, India

$ cat tagline.txt

Backend-heavy engineer building distributed systems and production AI.

./linkedin./github./email./resume
$

~/about

$ cat about.md

Engineering Manager with 8+ years building and scaling distributed systems.

Backend-heavy, full-stack capable. I care about systems that stay correct under load: clean APIs, sane data models, observable services.

Lately deep in production AI: RAG pipelines, agentic workflows, MCP. I also build ML models from scratch to understand the internals, not just the wrappers.

backend/
PythonTypeScriptNodeMicroservicesREST/gRPCPostgreSQLRedis
ai/
RAGLangChainAgentic workflowsMCPEmbeddingsML from scratch
infra/
AWSDockerDistributed systemsSystem designObservability
education/
Haldia Institute of Technology — TODO: B.Tech, branch (2014 – 2018)

~/experience

$ git log --oneline

  1. Engineering Manager @ Medanta

    TODO – Present

    Bengaluru, India

    • ›TODO: what you own / team / scope
    • ›TODO: a measurable win

  2. Senior Software Engineer @ Red.Health

    TODO – TODO

    Bengaluru, India

    • ›Real-time healthcare operations on microservices at scale.
    • ›Location services, infrastructure compliance, agentic + RAG-based solutions.
    • ›TODO: a measurable win

~/projects

$ ls -la ~/projects

›

rag-pipeline

Retrieval-augmented generation over internal docs. Chunking, embeddings, reranking, eval harness.

#Python#LangChain#pgvector#FastAPI
›

nn-from-scratch

Neural nets built ground-up in NumPy: backprop, attention, a tiny transformer. Learning the internals.

#Python#NumPy
›

mcp-tooling

Model Context Protocol servers exposing internal tools to agents. Typed contracts, auth, observability.

#TypeScript#MCP#AWS